TO STUDY THE PROFILE OF BACTERIAL INFECTIONS IN END-STAGE RENAL DISEASE PATIENTS ON MAINTENANCE HEMODIALYSIS

SEJSHI LATVOSHI; VEENU GUPTA; VIKAS MAKKAR; MANISHA AGGARWAL

doi:10.22159/ajpcr.2024v17i10.52760

Authors

SEJSHI LATVOSHI Department of Microbiology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India
VEENU GUPTA Department of Microbiology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India
VIKAS MAKKAR Department of Nephrology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India.
MANISHA AGGARWAL Department of Microbiology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India

DOI:

https://doi.org/10.22159/ajpcr.2024v17i10.52760

Keywords:

Hemodialysis, End-stage renal disease, Automated methods, Gram negative

Abstract

Objectives: The aims and objectives of the study are to characterize bacterial infections in end-stage renal disease (ESRD) patients on maintenance hemodialysis.

Methods: This forward-looking study was carried out over the course of 1 year in the Microbiology Department. Data were collected in pre-structured proforma, which included demographic details, risk factors, investigations, laboratory parameters, follow-up, and outcomes. Samples were collected on the basis of clinical suspicion and processed according to standard protocols. Identification and antimicrobial-susceptibility of bacterial isolates were done by BACTEC and VITEK I/D system.

Results: A total of 673 cases were enrolled, out of which 166 had bacterial infections. There was an overall male preponderance (68%), and the most common age group was 61–70 years (30.1%). A total of 225 infections were observed in 203 episodes. Most common infection was urinary tract infection (54.3%). The majority of the isolates were Gram-negative bacteria (77.3%), out of which Klebsiella pneumoniae (36.3%) was most common. Gram-negative isolates demonstrated highest susceptibility to amikacin, gentamicin, and cefoperazone+sulbactum.

Conclusion: Infections in ESRD patients on maintenance hemodialysis are prevalent and significantly impact morbidity and mortality. Identifying infection profiles can aid in targeted interventions and improve patient outcomes.

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